VR BioViewer - A new interactive-visual model to represent medical information

Gracia Berna, Antonio; González, Santiago; Veiga, J. y Robles Forcada, Víctor (2011). VR BioViewer - A new interactive-visual model to represent medical information. En: "The 2011 International Conference on Modeling, Simulation and Visualization Methods", 18/07/2011 - 21/07/2011, Las Vegas, USA. ISBN 1-60132-192-9. pp. 40-46.

Descripción

Título: VR BioViewer - A new interactive-visual model to represent medical information
Autor/es:
  • Gracia Berna, Antonio
  • González, Santiago
  • Veiga, J.
  • Robles Forcada, Víctor
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: The 2011 International Conference on Modeling, Simulation and Visualization Methods
Fechas del Evento: 18/07/2011 - 21/07/2011
Lugar del Evento: Las Vegas, USA
Título del Libro: Proceedings of 2011 International Conference on Modeling, Simulation and Visualization Methods
Fecha: 2011
ISBN: 1-60132-192-9
Volumen: 2011
Materias:
Palabras Clave Informales: dimensionality reduction, visualization, bioinformatics, manifold learning, virtual reality spaces, cáncer classification, visual data mining, genetic algorithms, similarity structure preservation, genomics.
Escuela: Centro de Supercomputación y Visualización de Madrid (CeSViMa) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Virtual reality (VR) techniques to understand and obtain conclusions of data in an easy way are being used by the scientific community. However, these techniques are not used frequently for analyzing large amounts of data in life sciences, particularly in genomics, due to the high complexity of data (curse of dimensionality). Nevertheless, new approaches that allow to bring out the real important data characteristics, arise the possibility of constructing VR spaces to visually understand the intrinsic nature of data. It is well known the benefits of representing high dimensional data in tridimensional spaces by means of dimensionality reduction and transformation techniques, complemented with a strong component of interaction methods. Thus, a novel framework, designed for helping to visualize and interact with data about diseases, is presented. In this paper, the framework is applied to the Van't Veer breast cancer dataset is used, while oncologists from La Paz Hospital (Madrid) are interacting with the obtained results. That is to say a first attempt to generate a visually tangible model of breast cancer disease in order to support the experience of oncologists is presented.

Más información

ID de Registro: 25930
Identificador DC: http://oa.upm.es/25930/
Identificador OAI: oai:oa.upm.es:25930
URL Oficial: http://worldcomp-proceedings.com/proc/proc2011/msv/contents.pdf
Depositado por: Memoria Investigacion
Depositado el: 26 Abr 2015 09:53
Ultima Modificación: 26 Abr 2015 09:54
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